2018 22nd International Conference Information Visualisation (IV)最新文献_第10页

Tourist Spot Recommendation Applying Generic Object Recognition with Travel Photos 基于旅游照片的通用目标识别旅游景点推荐

2018 22nd International Conference Information Visualisation (IV) Pub Date : 2018-07-01 DOI: 10.1109/iV.2018.00011

Risa Kitamura, T. Itoh

引用次数: 4

Using Visualization to improve Clustering Analysis on Heterogeneous Information Network 利用可视化技术改进异构信息网络聚类分析

2018 22nd International Conference Information Visualisation (IV) Pub Date : 2018-07-01 DOI: 10.1109/iV.2018.00046

Wenbo Wang, Yuwei Li, Feng Wang, Xiaopei Liu, Youyi Zheng

{"title":"Using Visualization to improve Clustering Analysis on Heterogeneous Information Network","authors":"Wenbo Wang, Yuwei Li, Feng Wang, Xiaopei Liu, Youyi Zheng","doi":"10.1109/iV.2018.00046","DOIUrl":"https://doi.org/10.1109/iV.2018.00046","url":null,"abstract":"The exploration and analysis of data mining methodologies is an important task for effective knowledge discovery, especially in today's heterogeneous information networks. Previously presented approaches for mining optimization aim primarily at the improvements of time complexity, space complexity, accuracy, and robustness. We extend the state-of-the-art method by concentrating on user-availability and algorithm understandability. Specifically, we use Rankclus, a classic clustering algorithm as an example. After uncovering the unseen computing processes to be displayed in a visual form, the whole clustering processes are transparent to the users, which may help them more clearly and quickly understand how the algorithms are computed, how does each object influence one another. In addition, we use a density approach to intuitively simplify the discovery of data patterns, and through the visualized results, users can adjust algorithm parameters with or without professional training. Finally, we use another two visual techniques to improve the visualization quality: a heatmap matrix designed for checking the similarities of objects which are in the same cluster, and a DOItree implemented to further analyze the accuracy of the algorithms.","PeriodicalId":312162,"journal":{"name":"2018 22nd International Conference Information Visualisation (IV)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124314085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Preliminary Study of Metrics and Methods for Readable Spatial OLAP Maps: VGI4Bio Case Study 可读空间OLAP地图度量与方法的初步研究:VGI4Bio案例研究

2018 22nd International Conference Information Visualisation (IV) Pub Date : 2018-07-01 DOI: 10.1109/iV.2018.00058

V. D. Fatto, S. Bimonte, Ali Hassan, M. Sebillo

引用次数: 0

Visualizing Student Flows to Track Retention and Graduation Rates 可视化学生流动，跟踪留校率和毕业率

2018 22nd International Conference Information Visualisation (IV) Pub Date : 2018-07-01 DOI: 10.1109/iV.2018.00064

D. Horváth, Roland Molontay, Mihaly Szabo

引用次数: 7

A Revision Control System for Image Editing in Collaborative Multimedia Design 协同多媒体设计中图像编辑的修订控制系统

2018 22nd International Conference Information Visualisation (IV) Pub Date : 2018-06-01 DOI: 10.1109/iV.2018.00095

Fabio Calefato, G. Castellano, Veronica Rossano

引用次数: 1

A Graphical Simulator for Modeling Complex Crowd Behaviors 模拟复杂人群行为的图形模拟器

2018 22nd International Conference Information Visualisation (IV) Pub Date : 2018-05-12 DOI: 10.1109/iV.2018.00012

Yuefan Hao, Zhijie Xu, Y. Liu, Jing Wang, Jiu-lun Fan

{"title":"A Graphical Simulator for Modeling Complex Crowd Behaviors","authors":"Yuefan Hao, Zhijie Xu, Y. Liu, Jing Wang, Jiu-lun Fan","doi":"10.1109/iV.2018.00012","DOIUrl":"https://doi.org/10.1109/iV.2018.00012","url":null,"abstract":"Abnormal crowd behaviors of varied real-world settings could represent or pose serious threat to public safety. The video data required for relevant analysis are often difficult to acquire due to security, privacy and data protection issues. Without large amounts of realistic crowd data, it is difficult to develop and verify crowd behavioral models, event detection techniques, and corresponding test and evaluations. This paper presented a synthetic method for generating crowd movements and tendency based on existing social and behavioral studies. Graph and tree searching algorithms as well as game engine-enabled techniques have been adopted in the study. The main outcomes of this research include a categorization model for entity-based behaviors following a linear aggregation approach; and the construction of an innovative agent-based pipeline for the synthesis of A-Star path-finding algorithm and an enhanced Social Force Model. A Spatial-Temporal Texture (STT) technique has been adopted for the evaluation of the model’s effectiveness. Tests have highlighted the visual similarities between STTs extracted from the simulations and their counterparts – video recordings - from the real-world.","PeriodicalId":312162,"journal":{"name":"2018 22nd International Conference Information Visualisation (IV)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128397592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Graph-Based Visualization of Time-Series Information in Multiple Texts 基于图形的多文本时间序列信息可视化

2018 22nd International Conference Information Visualisation (IV) Pub Date : 2018-04-12 DOI: 10.1109/iV.2018.00018

Hironari Kawada, Mina Akaishi, H. Hosobe

引用次数: 0